Senior Staff Data Scientist
Bengaluru, India
Applications have closed
Company Description
About Freshworks
Freshworks makes it fast and easy for businesses to delight their customers and employees. We do this by taking a fresh approach to building and delivering software that is affordable, quick to implement, and designed for the end user. More than 50,000 companies -- from startups to public companies -- around the world use Freshworks software-as-a-service to enable a better customer experience ]CRM) and employee experience (ITSM, HRSM). Headquartered in San Mateo, California, Freshworks has a dedicated team operating from 13 global locations to serve 50,000+ customers including Bridgestone, Chargebee, DeliveryHero, ITV, Klarna, Multichoice, OfficeMax, TaylorMade and Vice Media.
Freshworks transforms the way world-class organizations collaborate with customers and co-workers. The suite includes Freshdesk (omni-channel customer support), Freshsales (sales automation), Freshmarketer (marketing automation), Freshservice (IT service desk), Freshteam (HR management system). Freshworks has received numerous accolades including 2019 Startup of the Year form Economic Times, #16 ranking on the Forbes’ Cloud 100 list and #22 on the Battery Ventures/Glassdoor Best Places to Work in 2020. Our suite of products has also been recognized by analysts including the Gartner Magic Quadrants for CRM Customer Engagement, IT Service Management and Sales Force Automation.
At Freshworks, we are creating a global workplace that enables everyone to find their true potential, purpose and passion, irrespective of their background, gender, race, sexual orientation, religion or ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, our communities and our business.
Job Description
The Freshworks Analytics service powers all of our SaaS applications. Customers can use out-of-the-box analytics reports as well as build configurable dashboards and custom reports to get impactful insights about their businesses and users.
Ability to work in a fast paced start up mindset. Should be able to manage all aspects of AI/ML activities
Apply knowledge of ML, statistics, and advanced mathematics to conceptualize, experiment and design an intelligent system to augment the existing Analytics system.
Contributing in development and deployment of AI/ML models for descriptive, predictive and prescriptive analytics.
Gathering & analyzing data, devising data science solutions for high-performance models in scalable code. Propose innovative algorithms and pursue patents where appropriate.
Researching and evaluating emerging technology and market trends to assist in project development and operational support for multiple teams or complex scenarios.
Develop and enhance a broad range of cutting-edge data analytics and machine learning problems across a variety of Freshworks’ products
Work on various aspects of the ML ecosystem – model building, ML pipelines, logging & versioning, documentation, scaling, deployment, monitoring and maintenance etc.
Build efficient systems for processing large amounts of data; be proficient with distributed programming frameworks such as Hadoop/Spark
Work closely and mentor ML Engineers to come up with scalable system and model architectures for enabling real-time ML/AI services
Build & Own ML pipelines end-to-end, including stages such as data pre-processing, model generation, cross-validation, and share feedback
Working with engineering teams to incorporate solutions and create intuitive UX stories. Partner with data engineers on data quality assessment, cleansing and analytics.
Collaborate with product and business teams to understand all aspects of the problem
Qualifications
A Bachelor’s degree or a higher degree in Computer Science, Statistics, Mathematics, or a related field.
Have experience in Machine Learning/AI techniques including Deep learning (RNN, CNN, GAN, etc), Support Vector Machines; Regularization Techniques; Boosting, Random Forests, Ensemble Methods, Bayesian and time series modeling.
Experience with time series analysis, NLP, Distributed Systems, large scale computing, Big Data technologies like Hadoop and Spark are plus.
Have experience in Parallel programming frameworks for GPUs, TPUs and developed containerized solutions (Docker/Mesos etc).
Have good implementation experience with R, Python, Perl, Ruby, Scala, Apache Spark, Storm, SAS and ability to work with a variety of Deep learning frameworks including TensorFlow, Keras, Caffe, CNTK, etc
Have hands-on skills in sourcing, manipulating and analyzing large volumes of data including SQL and NoSQL databases
Solid understanding of mathematical underpinnings behind Machine Learning algorithms and proficiency in probability, statistics, linear algebra, calculus, and optimization.
Additional Information
All your information will be kept confidential according to EEO guidelines.
At Freshworks, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Bayesian Big Data Caffe Computer Science Data Analytics Data quality Deep Learning Distributed Systems Docker Engineering Hadoop Keras Linear algebra Machine Learning Mathematics ML models NLP NoSQL Perl Pipelines Python R RNN Ruby SAS Scala Spark SQL Statistics TensorFlow UX
Perks/benefits: Startup environment Team events
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